
The correct answer is A. true.
It was written in 1948 by the bureau of Labor statistics .
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Answer:
Explanation:
temporal locality can be defined as: when a particular memory is referenced or accessed several times within a specific period of time. In the question, i think the variable that exhibit temporal locality are I, J and 0(all the variable). This is because the variable J and 0 are accessed several times within the loop. I would not have been part of it, but in the A[I][J]=B[I][0]+A[J][I], the variable "I" is also accessed in the addition. this is why it is part of the temporal locality.
Answer: (A) At least one type is parameterized
Explanation:
A template class is the type of class in which the one type are parameterized atleast in each template class. The template class mainly provide the various type of specifications so that it can generate the class based on the different types of parameters.
A template class is basically initialized by passing the template argument in the given types. In this type of class atleast one type is defined as the generic type.
Therefore, Option (A) is correct.
Answer:
The code is given below. Follow the question and the code definitions for better understanding.
Explanation:
#include<iostream>
#include<string>
using namespace std;
int main(){
string pastWord="";
string currentWord,nextWord;
int n,t;
int singleton=0;
int consecutive=0;
cout<<"Enter words. ('xxxxx' to exit):\n";
cin>>nextWord;
do{
currentWord=nextWord;
cin>>nextWord;
if ( (currentWord!=pastWord)&&(currentWord!=nextWord) )
singleton++;
else if((currentWord==pastWord)&&(currentWord!=nextWord))
consecutive++;
pastWord=currentWord;
}while(nextWord!="xxxxx");
n=singleton;
t=consecutive;
cout<<"There were "<<n<<" singletons and "<<t<<" consecutive repetitions.";
cin.get();
return 0;
}
Hannah dakota's experiment obtained reaction time data using a factorial design with two independent variables. she should use a Two-way ANOVA to evaluate her data. <span>The two independent variables in a two-way ANOVA are called factors. The idea is that there are two variables, factors, which affect the dependent variable.</span>